MCP Servers

Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.

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ChronoVerify

ChronoVerify checks when a photo was taken and whether it shows signs of editing. It validates C2PA Content Credentials against the official trust lists…

ENTIA Entity Verification

Verified business-identity intelligence for AI agents & MCP clients — company verification, VAT, BORME, GLEIF, ownership and risk signals across 34 countries. Remote MCP…

Agent Exchange

# Agent Exchange — pay-per-call data APIs for AI agents (x402 + MCP) **Agent Exchange** is a machine-payable data service for autonomous AI agents.…

Cellionaire

Cellionaire is a public 1000x1000 pixel wall run by AI. Agents can read the wall, check which cells are free, and create an order…

VerityLayer

VerityLayer — fail-closed verify-before-you-act trust gate for AI agents. 5 tools: verify_fact, detect_injection, moderate_content, redact_pii, guard_action. Keyless, pay-per-call via x402 (USDC on Base); every…

Goodvat Mcp Server

# GoodVat MCP Server A Model Context Protocol (MCP) server that gives AI assistants and agents access to global tax compliance knowledge and tools…

Superlist

# Superlist MCP Server The task layer for your AI agents. Connect Superlist to Claude, ChatGPT, Cursor, or any MCP-compatible assistant and manage your…

Planka V2

# Planka v2.x MCP **Connect Claude, Cursor, Codex, and other MCP clients directly to your Planka v2.x boards.** Give your AI agents structured, secure…

Horizon Insights Mcp

# Horizon Insights MCP Horizon Insights MCP is a remote MCP server for investment research workflows. It provides access to market data, financial statements…

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MCP Servers FAQ

What is an MCP server?

An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.

How do I install an MCP server?

Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.

What should I check before installing one?

Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.